我想要做的mySQL命令有些困难。
SELECT a.timestamp, name, count(b.name)
FROM time a, id b
WHERE a.user = b.user
AND a.id = b.id
AND b.name = 'John'
AND a.timestamp BETWEEN '2010-11-16 10:30:00' AND '2010-11-16 11:00:00'
GROUP BY a.timestamp
这是我目前的输出声明。
timestamp name count(b.name)
------------------- ---- -------------
2010-11-16 10:32:22 John 2
2010-11-16 10:35:12 John 7
2010-11-16 10:36:34 John 1
2010-11-16 10:37:45 John 2
2010-11-16 10:48:26 John 8
2010-11-16 10:55:00 John 9
2010-11-16 10:58:08 John 2
如何将它们分组为5分钟间隔结果?
我希望我的输出像
timestamp name count(b.name)
------------------- ---- -------------
2010-11-16 10:30:00 John 2
2010-11-16 10:35:00 John 10
2010-11-16 10:40:00 John 0
2010-11-16 10:45:00 John 8
2010-11-16 10:50:00 John 0
2010-11-16 10:55:00 John 11
答案 0 :(得分:119)
这适用于每个时间间隔。
<强>的PostgreSQL 强>
SELECT
TIMESTAMP WITH TIME ZONE 'epoch' +
INTERVAL '1 second' * round(extract('epoch' from timestamp) / 300) * 300 as timestamp,
name,
count(b.name)
FROM time a, id
WHERE …
GROUP BY
round(extract('epoch' from timestamp) / 300), name
的的MySQL 强>
SELECT
timestamp, -- not sure about that
name,
count(b.name)
FROM time a, id
WHERE …
GROUP BY
UNIX_TIMESTAMP(timestamp) DIV 300, name
答案 1 :(得分:28)
你应该使用GROUP BY UNIX_TIMESTAMP(time_stamp) DIV 300
而不是round(../ 300)因为舍入我发现一些记录被计入两个分组结果集。
答案 2 :(得分:27)
对于 postgres ,我发现使用
更容易,更准确功能,如:
select name, sum(count), date_trunc('minute',timestamp) as timestamp
FROM table
WHERE xxx
GROUP BY name,date_trunc('minute',timestamp)
ORDER BY timestamp
你可以提供各种分辨率,如'分钟','小时','天'等...到date_trunc。
答案 3 :(得分:25)
我遇到了同样的问题。
我发现很容易按任何一分钟间隔进行分组
只需将秒数纪元除以分钟数,然后进行四舍五入或使用地板来获取余数。因此,如果您希望在 5分钟中获得间隔,则可以使用 300秒。
SELECT COUNT(*) cnt,
to_timestamp(floor((extract('epoch' from timestamp_column) / 300 )) * 300)
AT TIME ZONE 'UTC' as interval_alias
FROM TABLE_NAME GROUP BY interval_alias
SELECT COUNT(*) cnt,
to_timestamp(floor((extract('epoch' from timestamp_column) / 300 )) * 300)
AT TIME ZONE 'UTC' as interval_alias
FROM TABLE_NAME GROUP BY interval_alias
interval_alias cnt ------------------- ---- 2010-11-16 10:30:00 2 2010-11-16 10:35:00 10 2010-11-16 10:45:00 8 2010-11-16 10:55:00 11
这将按所选的分钟间隔正确返回数据组;但是,它不会返回不包含任何数据的间隔。为了得到那些空的区间,我们可以使用函数generate_series。
结果:SELECT generate_series(MIN(date_trunc('hour',timestamp_column)),
max(date_trunc('minute',timestamp_column)),'5m') as interval_alias FROM
TABLE_NAME
interval_alias ------------------- 2010-11-16 10:30:00 2010-11-16 10:35:00 2010-11-16 10:40:00 2010-11-16 10:45:00 2010-11-16 10:50:00 2010-11-16 10:55:00
现在,为了得到具有零出现间隔的结果,我们只需外连接两个结果集。
SELECT generate_series(MIN(date_trunc('hour',timestamp_column)),
max(date_trunc('minute',timestamp_column)),'5m') as interval_alias FROM
TABLE_NAME
最终结果将包括所有5分钟间隔的系列,即使是那些没有值的系列。
interval count ------------------- ---- 2010-11-16 10:30:00 2 2010-11-16 10:35:00 10 2010-11-16 10:40:00 0 2010-11-16 10:45:00 8 2010-11-16 10:50:00 0 2010-11-16 10:55:00 11
通过调整generate_series的最后一个参数,可以轻松更改间隔。在我们的例子中,我们使用'5m',但它可能是任何间隔。
答案 4 :(得分:10)
查询将类似于:
SELECT
DATE_FORMAT(
MIN(timestamp),
'%d/%m/%Y %H:%i:00'
) AS tmstamp,
name,
COUNT(id) AS cnt
FROM
table
GROUP BY ROUND(UNIX_TIMESTAMP(timestamp) / 300), name
答案 5 :(得分:4)
您可能不得不将时间戳分解为ymd:HM并使用DIV 5将分钟分成5分钟的分箱 - 类似
select year(a.timestamp),
month(a.timestamp),
hour(a.timestamp),
minute(a.timestamp) DIV 5,
name,
count(b.name)
FROM time a, id b
WHERE a.user = b.user AND a.id = b.id AND b.name = 'John'
AND a.timestamp BETWEEN '2010-11-16 10:30:00' AND '2010-11-16 11:00:00'
GROUP BY year(a.timestamp),
month(a.timestamp),
hour(a.timestamp),
minute(a.timestamp) DIV 12
...然后将客户端代码中的输出显示为您喜欢的方式。或者,如果您愿意,可以使用sql concat operator构建整个日期字符串,而不是获取单独的列。
select concat(year(a.timestamp), "-", month(a.timestamp), "-" ,day(a.timestamp),
" " , lpad(hour(a.timestamp),2,'0'), ":",
lpad((minute(a.timestamp) DIV 5) * 5, 2, '0'))
...然后分组
答案 6 :(得分:1)
这个怎么样:
select
from_unixtime(unix_timestamp(timestamp) - unix_timestamp(timestamp) mod 300) as ts,
sum(value)
from group_interval
group by ts
order by ts
;
答案 7 :(得分:1)
不确定你是否还需要它。
SELECT FROM_UNIXTIME(FLOOR((UNIX_TIMESTAMP(timestamp))/300)*300) AS t,timestamp,count(1) as c from users GROUP BY t ORDER BY t;
2016-10-29 19:35:00 | 2016-10-29 19:35:50 | 4 |
2016-10-29 19:40:00 | 2016-10-29 19:40:37 | 5 |
2016-10-29 19:45:00 | 2016-10-29 19:45:09 | 6 |
2016-10-29 19:50:00 | 2016-10-29 19:51:14 | 4 |
2016-10-29 19:55:00 | 2016-10-29 19:56:17 | 1 |
答案 8 :(得分:0)
我发现使用MySQL可能正确的查询如下:
SELECT SUBSTRING( FROM_UNIXTIME( CEILING( timestamp /300 ) *300,
'%Y-%m-%d %H:%i:%S' ) , 1, 19 ) AS ts_CEILING,
SUM(value)
FROM group_interval
GROUP BY SUBSTRING( FROM_UNIXTIME( CEILING( timestamp /300 ) *300,
'%Y-%m-%d %H:%i:%S' ) , 1, 19 )
ORDER BY SUBSTRING( FROM_UNIXTIME( CEILING( timestamp /300 ) *300,
'%Y-%m-%d %H:%i:%S' ) , 1, 19 ) DESC
让我知道你的想法。
答案 9 :(得分:0)
select
CONCAT(CAST(CREATEDATE AS DATE),' ',datepart(hour,createdate),':',ROUNd(CAST((CAST((CAST(DATEPART(MINUTE,CREATEDATE) AS DECIMAL (18,4)))/5 AS INT)) AS DECIMAL (18,4))/12*60,2)) AS '5MINDATE'
,count(something)
from TABLE
group by CONCAT(CAST(CREATEDATE AS DATE),' ',datepart(hour,createdate),':',ROUNd(CAST((CAST((CAST(DATEPART(MINUTE,CREATEDATE) AS DECIMAL (18,4)))/5 AS INT)) AS DECIMAL (18,4))/12*60,2))
答案 10 :(得分:0)
这将有助于你想要的
替换 dt - 你的日期时间 c - 调用字段 astro_transit1 - 你的桌子 300 指 5 分钟,所以每次加 300 以增加时间间隔
SELECT FROM_UNIXTIME( 300 * ROUND( UNIX_TIMESTAMP( r.dt ) /300 ) ) AS 5datetime, (
SELECT r.c
FROM astro_transit1 ra
WHERE ra.dt = r.dt
ORDER BY ra.dt DESC
LIMIT 1
) AS first_val FROM astro_transit1 r GROUP BY UNIX_TIMESTAMP( r.dt )
DIV 300
LIMIT 0 , 30